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  1. cost_to_push_frequency_1001/README.md +163 -0
  2. cost_to_push_frequency_1001/all_results.json +16 -0
  3. cost_to_push_frequency_1001/checkpoint-100000/config.json +31 -0
  4. cost_to_push_frequency_1001/checkpoint-100000/generation_config.json +6 -0
  5. cost_to_push_frequency_1001/checkpoint-100000/merges.txt +0 -0
  6. cost_to_push_frequency_1001/checkpoint-100000/model.safetensors +3 -0
  7. cost_to_push_frequency_1001/checkpoint-100000/optimizer.pt +3 -0
  8. cost_to_push_frequency_1001/checkpoint-100000/rng_state.pth +3 -0
  9. cost_to_push_frequency_1001/checkpoint-100000/scaler.pt +3 -0
  10. cost_to_push_frequency_1001/checkpoint-100000/scheduler.pt +3 -0
  11. cost_to_push_frequency_1001/checkpoint-100000/special_tokens_map.json +5 -0
  12. cost_to_push_frequency_1001/checkpoint-100000/tokenizer.json +0 -0
  13. cost_to_push_frequency_1001/checkpoint-100000/tokenizer_config.json +20 -0
  14. cost_to_push_frequency_1001/checkpoint-100000/trainer_state.json +0 -0
  15. cost_to_push_frequency_1001/checkpoint-100000/training_args.bin +3 -0
  16. cost_to_push_frequency_1001/checkpoint-100000/vocab.json +0 -0
  17. cost_to_push_frequency_1001/checkpoint-40000/config.json +31 -0
  18. cost_to_push_frequency_1001/checkpoint-40000/generation_config.json +6 -0
  19. cost_to_push_frequency_1001/checkpoint-40000/merges.txt +0 -0
  20. cost_to_push_frequency_1001/checkpoint-40000/model.safetensors +3 -0
  21. cost_to_push_frequency_1001/checkpoint-40000/optimizer.pt +3 -0
  22. cost_to_push_frequency_1001/checkpoint-40000/rng_state.pth +3 -0
  23. cost_to_push_frequency_1001/checkpoint-40000/scaler.pt +3 -0
  24. cost_to_push_frequency_1001/checkpoint-40000/scheduler.pt +3 -0
  25. cost_to_push_frequency_1001/checkpoint-40000/special_tokens_map.json +5 -0
  26. cost_to_push_frequency_1001/checkpoint-40000/tokenizer.json +0 -0
  27. cost_to_push_frequency_1001/checkpoint-40000/tokenizer_config.json +20 -0
  28. cost_to_push_frequency_1001/checkpoint-40000/trainer_state.json +0 -0
  29. cost_to_push_frequency_1001/checkpoint-40000/training_args.bin +3 -0
  30. cost_to_push_frequency_1001/checkpoint-40000/vocab.json +0 -0
  31. cost_to_push_frequency_1001/checkpoint-70000/config.json +31 -0
  32. cost_to_push_frequency_1001/checkpoint-70000/generation_config.json +6 -0
  33. cost_to_push_frequency_1001/checkpoint-70000/merges.txt +0 -0
  34. cost_to_push_frequency_1001/checkpoint-70000/model.safetensors +3 -0
  35. cost_to_push_frequency_1001/checkpoint-70000/optimizer.pt +3 -0
  36. cost_to_push_frequency_1001/checkpoint-70000/rng_state.pth +3 -0
  37. cost_to_push_frequency_1001/checkpoint-70000/scaler.pt +3 -0
  38. cost_to_push_frequency_1001/checkpoint-70000/scheduler.pt +3 -0
  39. cost_to_push_frequency_1001/checkpoint-70000/special_tokens_map.json +5 -0
  40. cost_to_push_frequency_1001/checkpoint-70000/tokenizer.json +0 -0
  41. cost_to_push_frequency_1001/checkpoint-70000/tokenizer_config.json +20 -0
  42. cost_to_push_frequency_1001/checkpoint-70000/trainer_state.json +0 -0
  43. cost_to_push_frequency_1001/checkpoint-70000/training_args.bin +3 -0
  44. cost_to_push_frequency_1001/checkpoint-70000/vocab.json +0 -0
  45. cost_to_push_frequency_1001/checkpoint-80000/config.json +31 -0
  46. cost_to_push_frequency_1001/checkpoint-80000/generation_config.json +6 -0
  47. cost_to_push_frequency_1001/checkpoint-80000/merges.txt +0 -0
  48. cost_to_push_frequency_1001/checkpoint-80000/model.safetensors +3 -0
  49. cost_to_push_frequency_1001/checkpoint-80000/optimizer.pt +3 -0
  50. cost_to_push_frequency_1001/checkpoint-80000/rng_state.pth +3 -0
cost_to_push_frequency_1001/README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: exceptions_exp2_cost_to_push_frequency_1001
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/craaaa/exceptions_exp2/runs/t8m598r7)
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+ # exceptions_exp2_cost_to_push_frequency_1001
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.5558
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+ - Accuracy: 0.3698
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0006
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 1001
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+ - gradient_accumulation_steps: 5
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+ - total_train_batch_size: 80
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 50.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-------:|:------:|:--------:|:---------------:|
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+ | 4.8593 | 0.2912 | 1000 | 0.2511 | 4.7845 |
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+ | 4.3389 | 0.5824 | 2000 | 0.2990 | 4.2866 |
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+ | 4.1582 | 0.8737 | 3000 | 0.3156 | 4.0940 |
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+ | 3.998 | 1.1648 | 4000 | 0.3255 | 3.9873 |
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+ | 3.9194 | 1.4561 | 5000 | 0.3321 | 3.9141 |
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+ | 3.8898 | 1.7473 | 6000 | 0.3375 | 3.8536 |
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+ | 3.7319 | 2.0384 | 7000 | 0.3417 | 3.8126 |
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+ | 3.7529 | 2.3297 | 8000 | 0.3448 | 3.7822 |
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+ | 3.7456 | 2.6209 | 9000 | 0.3476 | 3.7534 |
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+ | 3.7211 | 2.9121 | 10000 | 0.3498 | 3.7288 |
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+ | 3.6308 | 3.2033 | 11000 | 0.3516 | 3.7153 |
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+ | 3.6491 | 3.4945 | 12000 | 0.3533 | 3.6949 |
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+ | 3.6444 | 3.7857 | 13000 | 0.3551 | 3.6785 |
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+ | 3.546 | 4.0769 | 14000 | 0.3562 | 3.6715 |
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+ | 3.5738 | 4.3681 | 15000 | 0.3574 | 3.6611 |
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+ | 3.5847 | 4.6593 | 16000 | 0.3588 | 3.6470 |
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+ | 3.5793 | 4.9506 | 17000 | 0.3598 | 3.6330 |
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+ | 3.5062 | 5.2417 | 18000 | 0.3603 | 3.6377 |
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+ | 3.515 | 5.5329 | 19000 | 0.3611 | 3.6267 |
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+ | 3.5335 | 5.8242 | 20000 | 0.3622 | 3.6128 |
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+ | 3.4428 | 6.1153 | 21000 | 0.3625 | 3.6191 |
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+ | 3.4722 | 6.4065 | 22000 | 0.3630 | 3.6123 |
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+ | 3.4907 | 6.6978 | 23000 | 0.3639 | 3.5971 |
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+ | 3.4887 | 6.9890 | 24000 | 0.3649 | 3.5925 |
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+ | 3.4294 | 7.2802 | 25000 | 0.3647 | 3.5997 |
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+ | 3.4576 | 7.5714 | 26000 | 0.3653 | 3.5897 |
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+ | 3.4537 | 7.8626 | 27000 | 0.3660 | 3.5796 |
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+ | 3.3948 | 8.1538 | 28000 | 0.3658 | 3.5907 |
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+ | 3.4066 | 8.4450 | 29000 | 0.3666 | 3.5827 |
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+ | 3.4422 | 8.7362 | 30000 | 0.3674 | 3.5731 |
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+ | 3.3397 | 9.0274 | 31000 | 0.3675 | 3.5793 |
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+ | 3.3756 | 9.3186 | 32000 | 0.3672 | 3.5778 |
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+ | 3.3942 | 9.6098 | 33000 | 0.3679 | 3.5690 |
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+ | 3.412 | 9.9010 | 34000 | 0.3685 | 3.5606 |
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+ | 3.3372 | 10.1922 | 35000 | 0.3681 | 3.5736 |
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+ | 3.3716 | 10.4834 | 36000 | 0.3686 | 3.5674 |
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+ | 3.3913 | 10.7747 | 37000 | 0.3693 | 3.5581 |
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+ | 3.307 | 11.0658 | 38000 | 0.3693 | 3.5671 |
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+ | 3.3368 | 11.3570 | 39000 | 0.3695 | 3.5619 |
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+ | 3.3631 | 11.6483 | 40000 | 0.3698 | 3.5558 |
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+ | 3.3751 | 11.9395 | 41000 | 0.3704 | 3.5484 |
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+ | 3.303 | 12.2306 | 42000 | 0.3697 | 3.5635 |
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+ | 3.3382 | 12.5219 | 43000 | 0.3704 | 3.5556 |
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+ | 3.3602 | 12.8131 | 44000 | 0.3705 | 3.5500 |
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+ | 3.2629 | 13.1043 | 45000 | 0.3702 | 3.5621 |
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+ | 3.3151 | 13.3955 | 46000 | 0.3708 | 3.5562 |
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+ | 3.3245 | 13.6867 | 47000 | 0.3712 | 3.5468 |
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+ | 3.3368 | 13.9779 | 48000 | 0.3716 | 3.5417 |
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+ | 3.2765 | 14.2691 | 49000 | 0.3712 | 3.5587 |
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+ | 3.3005 | 14.5603 | 50000 | 0.3712 | 3.5527 |
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+ | 3.3231 | 14.8515 | 51000 | 0.3717 | 3.5417 |
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+ | 3.253 | 15.1427 | 52000 | 0.3714 | 3.5584 |
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+ | 3.2694 | 15.4339 | 53000 | 0.3717 | 3.5548 |
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+ | 3.3034 | 15.7251 | 54000 | 0.3721 | 3.5420 |
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+ | 3.202 | 16.0163 | 55000 | 0.3720 | 3.5520 |
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+ | 3.2585 | 16.3075 | 56000 | 0.3723 | 3.5506 |
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+ | 3.2753 | 16.5988 | 57000 | 0.3722 | 3.5455 |
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+ | 3.2954 | 16.8900 | 58000 | 0.3727 | 3.5383 |
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+ | 3.2297 | 17.1811 | 59000 | 0.3721 | 3.5550 |
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+ | 3.2697 | 17.4724 | 60000 | 0.3726 | 3.5484 |
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+ | 3.2866 | 17.7636 | 61000 | 0.3731 | 3.5379 |
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+ | 3.1941 | 18.0547 | 62000 | 0.3726 | 3.5492 |
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+ | 3.2347 | 18.3460 | 63000 | 0.3727 | 3.5474 |
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+ | 3.2498 | 18.6372 | 64000 | 0.3729 | 3.5405 |
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+ | 3.2726 | 18.9284 | 65000 | 0.3736 | 3.5328 |
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+ | 3.2068 | 19.2196 | 66000 | 0.3726 | 3.5533 |
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+ | 3.2369 | 19.5108 | 67000 | 0.3731 | 3.5462 |
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+ | 3.2604 | 19.8020 | 68000 | 0.3735 | 3.5354 |
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+ | 3.1803 | 20.0932 | 69000 | 0.3731 | 3.5513 |
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+ | 3.2253 | 20.3844 | 70000 | 0.3732 | 3.5476 |
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+ | 3.2326 | 20.6756 | 71000 | 0.3738 | 3.5358 |
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+ | 3.2448 | 20.9669 | 72000 | 0.3739 | 3.5313 |
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+ | 3.1927 | 21.2580 | 73000 | 0.3731 | 3.5481 |
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+ | 3.2163 | 21.5492 | 74000 | 0.3737 | 3.5421 |
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+ | 3.2369 | 21.8405 | 75000 | 0.3746 | 3.5302 |
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+ | 3.1542 | 22.1316 | 76000 | 0.3733 | 3.5537 |
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+ | 3.1967 | 22.4229 | 77000 | 0.3738 | 3.5445 |
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+ | 3.2073 | 22.7141 | 78000 | 0.3742 | 3.5381 |
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+ | 3.1855 | 23.0052 | 79000 | 0.3738 | 3.5445 |
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+ | 3.173 | 23.2965 | 80000 | 0.3738 | 3.5476 |
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+ | 3.1695 | 23.5877 | 81000 | 3.5510 | 0.3736 |
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+ | 3.2074 | 23.8789 | 82000 | 3.5399 | 0.3742 |
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+ | 3.1651 | 24.1704 | 83000 | 3.5497 | 0.3737 |
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+ | 3.1884 | 24.4616 | 84000 | 3.5426 | 0.3742 |
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+ | 3.207 | 24.7528 | 85000 | 3.5379 | 0.3746 |
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+ | 3.1365 | 25.0440 | 86000 | 3.5524 | 0.3741 |
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+ | 3.1642 | 25.3352 | 87000 | 3.5455 | 0.3741 |
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+ | 3.1958 | 25.6264 | 88000 | 3.5405 | 0.3749 |
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+ | 3.2107 | 25.9176 | 89000 | 3.5316 | 0.3751 |
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+ | 3.1475 | 26.2088 | 90000 | 3.5520 | 0.3741 |
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+ | 3.1867 | 26.5000 | 91000 | 3.5411 | 0.3747 |
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+ | 3.1844 | 26.7913 | 92000 | 3.5354 | 0.3748 |
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+ | 3.1078 | 27.0824 | 93000 | 3.5475 | 0.3745 |
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+ | 3.1532 | 27.3736 | 94000 | 3.5425 | 0.3747 |
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+ | 3.1733 | 27.6649 | 95000 | 3.5398 | 0.3749 |
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+ | 3.1887 | 27.9561 | 96000 | 3.5322 | 0.3754 |
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+ | 3.1166 | 28.2472 | 97000 | 3.5470 | 0.3745 |
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+ | 3.1646 | 28.5385 | 98000 | 3.5430 | 0.3745 |
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+ | 3.1702 | 28.8297 | 99000 | 3.5357 | 0.3752 |
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+ | 3.1108 | 29.1209 | 100000 | 3.5503 | 0.3746 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.55.2
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+ - Pytorch 2.8.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
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